Back to Search Start Over

Secured two factor authentication, graph based replication and encryption strategy in cloud computing.

Authors :
Lavanya, S.
Saravanakumar, N. M.
Source :
Multimedia Tools & Applications; May2023, Vol. 82 Issue 11, p16105-16125, 21p
Publication Year :
2023

Abstract

In recent times, many innovative techniques are enabled in the real-time business environment and becoming more popular day by day in the cloud platform. The IT platform is expecting a whole new level of development by implementing new innovative technologies to a greater extent without employing additional infrastructure. Security is a critical concern in a shared environment in the current era, and it remains unresolved in the cloud. Data replication is also challenging to sustain performance, including data availability, reliability, scalability, bandwidth, access latency, and storage capacity constraints. Hence, data must be replicated to different nodes to achieve greater performance in the shared environment. Once the data is placed on to the backend storage, no proper encryption method is implemented when data is in motion and rest. This research proposes a new method to secure a one-time password in a two-factor authentication mechanism. The research employs, proves, and ensures strong security. The second method proposed in this research is to place the optimal number of replicas on different nodes to offer high availability. The replication using the packing coloring process is performed over multiple servers and optimizes the replica, which leads a path to space efficiency. The final method is a graph-based data encryption strategy that performs encryption on data in backend Redundant Array of Independent Disk (RAID) storage using crypto keys generated by the packing coloring process. The dynamic keystream considered in the proposed research offers better security. This research offers a novel architecture that proves strong security, improved authentication, and optimal replica placement with minimal cost. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13807501
Volume :
82
Issue :
11
Database :
Complementary Index
Journal :
Multimedia Tools & Applications
Publication Type :
Academic Journal
Accession number :
163122167
Full Text :
https://doi.org/10.1007/s11042-022-13838-4